Introducing Neural Search 2.0: A New State of the Art
Today we are releasing Neural Search 2.0, our most significant model update yet. We achieved a 34% improvement in relevance accuracy on our internal benchmark suite.
Updates from the RunoxAI team — product launches, engineering deep-dives, and research findings.
Today we are releasing Neural Search 2.0, our most significant model update yet. We achieved a 34% improvement in relevance accuracy on our internal benchmark suite.
After analyzing thousands of RAG implementations built on RunoxAI, we distilled the most impactful patterns and anti-patterns for production systems.
Keyword search was built for humans scanning results. LLMs need something fundamentally different — they need to retrieve by meaning. Here is why it matters.
Cached search indexes can be days or weeks out of date. Livecrawl fetches pages in real-time so your AI always has the latest information.
A deep dive into the infrastructure powering RunoxAI web index. From crawling to embedding to serving results in under 200ms.
We are thrilled to announce our $25M Series A round led by top-tier AI investors. This funding will accelerate our mission to make the web knowledge accessible to every AI application.
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